Immuta vs erwin Data Intelligence comparison

Quest Software and Immuta are both solutions in the Data Governance category. Quest Software is ranked #19 with an average rating of 8.0, while Immuta is ranked #25 with an average rating of 8.0. Quest Software holds a 2.0% mindshare in DG, compared to Immuta’s 2.1% mindshare. Additionally, 100% of Quest Software users are willing to recommend the solution, compared to 100% of Immuta users who would recommend it.

erwin Data Intelligence

Read 20 erwin Data Intelligence reviews

3,763 Views
3,612 Comparison Views

100% willing to recommend

Immuta

Read 5 Immuta reviews

2,851 Views
1,825 Comparison Views

100% willing to recommend

erwin Data Intelligence

Immuta

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 1, 2026

Erwin Data Intelligence and Immuta are competing in the data governance and privacy sector, with Immuta having the upper hand due to its advanced data privacy and security features.

Features: Erwin Data Intelligence offers robust metadata management, data lineage tracking, and excellent integration capabilities that enable seamless connection with various systems. Immuta provides dynamic data masking, fine-grained access controls, and automated policy enforcement, prioritizing data security and compliance. Its advanced privacy controls make it a leader in mitigating data risk.

Room for Improvement: Erwin Data Intelligence could benefit from enhancing its data privacy controls and automating more policy enforcement features. It may also gain from simplifying its metadata management interface. Immuta could improve by offering easier integration with legacy systems, enhancing user interface intuitiveness, and reducing deployment complexity to better serve a diverse clientele.

Ease of Deployment and Customer Service: Erwin Data Intelligence is praised for its straightforward deployment model that integrates effortlessly into existing environments. Immuta’s deployment is more complex due to its rich feature set, but it offers comprehensive support and guidance to facilitate implementation, boosting overall confidence during deployment.

Pricing and ROI: Erwin Data Intelligence is generally more affordable, offering a strong return on investment through lower setup costs and efficient integration. Immuta, while more expensive, justifies its cost with significant ROI from its advanced data security features and rigorous data handling capabilities, providing substantial value for investment.

To learn more, read our detailed Immuta vs. erwin Data Intelligence Report (Updated: June 2026).

Buyer's Guide

Immuta vs. erwin Data Intelligence

June 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

erwin Data Intelligence

Ranking in Data Governance

19th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

AI Governance (3rd)

Immuta

Ranking in Data Governance

25th

Average Rating

7.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Data Security Posture Management (DSPM) (15th), AI Data Analysis (22nd)

Mindshare comparison

As of June 2026, in the Data Governance category, the mindshare of erwin Data Intelligence is 2.0%, up from 1.9% compared to the previous year. The mindshare of Immuta is 2.1%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
erwin Data Intelligence	2.0%
Immuta	2.1%
Other	95.9%

Data Governance

Featured Reviews

Jog Raj

Senior Consultant at a computer software company with 11-50 employees

Automated lineage and business glossaries have improved data understanding and collaboration

I am open to answering a few questions about erwin Data Intelligence and sharing my opinion about the product. Regarding the analytic part of the product, I find it very interesting that erwin Data Intelligence has its own inbuilt reporting toolset, with a new version coming out in January that will be AI-powered. This means you will be able to write analytical reports and questions based on the metadata and data lineage, making it more powerful than the current version, as AI will assist in creating those reports and performing analysis on the metadata. I find that the time taken to realize value from erwin Data Intelligence can be quite long. Creating a data catalog and developing data lineage takes significant time, and I expect that AI will help accelerate the process of creating data products by streamlining the steps involved. I can recommend erwin Data Intelligence to other users. I would rate this review as an eight out of ten overall.

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Dibyajyoti Rath

Data Analyst at a consultancy with 10,001+ employees

Centralized access control has secured sensitive data and supports compliant self-service analytics

Immuta is very helpful, but it can be improved in a few areas. The initial setup and policy design can be complex and require a learning curve. The user interface could be more interactive, especially for non-technical users. Policy troubleshooting and debugging could be easier with better visibility into why access was allowed or denied. Performance optimization and deeper integration with more tools could make it even better. Additional improvements would strengthen Immuta further. The documentation and real-world examples would help teams onboard faster. More out-of-the-box policy templates could reduce setup time. Improved policy simulation and testing would help teams understand the impact of changes before applying them. Stronger alerting and monitoring features would help quickly identify access issues. Finally, more end-user training and simplified workflows would make it easier for business users to adopt.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The client is thrilled with higher quality, lower-cost products, and the services."

"Data Intelligence allows us to automate multiple tasks we had previously done manually, such as restructuring the metadata for our purposes, setting up ETL flows, and defining the data tables we create. It also enables us to standardize our approach and our technical processes."

"The main benefits erwin Data Intelligence provides to me include better decision-making, saving money and time by applying governance policies and procedures on the actual technical data, ensuring decisions are based on KPIs that are governed from source to end, and providing functionality for data classification to prevent unauthorized access through integration with the infrastructure team using DLP methodology."

"The data management is, obviously, key in understanding where the data is and what the data is. And the governance can be done at multiple levels. You have the governance of the code sets versus the governance of the business terms and the definitions of those business terms. You have the governance of the business data models and how those business data models are driving the physical implementation of the actual databases. And, of course, you have the governance of the mapping to make sure that source-to-target mapping is done and is being shared across the company."

"This tool has taken us from having nothing to being very efficient."

"The data mapping manager is the most valuable feature."

"Mind map... is a really good feature because it is very helpful in seeing which column's tables are related. Also, you can flag them with "sensitive data" and other indicators. You can also customize your own features for the mind map. That was another very robust feature."

"This type of solution was key to moving our entire company in the right direction by getting everyone to think about data governance."

More erwin Data Intelligence pros

"All features available are good."

"Immuta has had a very positive impact on our organization, helping us strengthen data security by ensuring sensitive data is only accessible to the right users, simplifying compliance with clear audit trails and consistent policy enforcement, reducing manual access management to save time for data and security teams, and enabling safe self-service analytics so our team can access data faster while still meeting governance and regulatory requirements."

"What I appreciate the most is its user-friendliness."

"Instead of manually tagging data, Immuta’s auto-discovery capability identifies sensitive information, such as country labels, gender information, and other personal data."

"The tool's most valuable feature is restriction."

Cons

"Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier."

"The metadata ingestion is very nice because of the ability to automate it. It would be nice to be able to do this ingestion, or set it up, from one place, instead of having to set it up separately for every data asset that is ingested."

"There is room for improvement with the data cataloging capability. Right now, there is a list of a lot of sources that they can catalog, or they can create metadata upon, but if they can add more then that would be a good plus for this tool."

"There are a lot of little things like moving between read screens and edit screens. Those little human interface type of programming pieces will need to mature a bit to make it easier to get to where you want to go to put the stuff in."

"We still need another layer of data quality assessments on the source to see if it is sending us the wrong data or if there are some issues with the source data. For those things, we need a rule-based data quality assessment or scoring where we can assess tools or other technology stacks. We need to be able to leverage where the business comes in, defining some business rules and have the ability to execute those rules, then score the data quality of all those attributes. Data quality is definitely not what we are leveraging from this tool, as of today."

"The integration with various metadata sources, including erwin Data Modeler, isn't smooth in the current version. It took some experimentation to get things working. We hope this is improved in the newer version. The initial version we used felt awkward because Erwin implemented features from other companies into their offering."

"The versioning can sometimes be confusing because we use the publishing feature for the mapping. Technical analysts sometimes have two versions, and they should know that the public version is the correct one."

"Scalability has room for improvement. It tends to slow down when we have large volumes of data, and it takes more time."

More erwin Data Intelligence cons

"We have had some challenges with their support when we were migrating to the cloud version. We we had some issues, and it took us several attempts to get a proper responses as part of that migration."

"There is room for improvement in enhancing the monitoring capabilities."

"The implementation process with Immuta was quite challenging, primarily due to issues related to database handling and the syncing of user groups."

"Immuta is very helpful, but it can be improved in a few areas."

"Immuta is behind in updating upgrades and software releases."

Pricing and Cost Advice

"You buy a seat license for your portal. We have 100 seats for the portal, then you buy just the development licenses for the people who are going to put the data in."

"We operate on a yearly subscription and because it is an enterprise license we only have one. It is not dependent on the number of users."

"The whole suite, not just the DI but the modeling software, the harvester, Mapping Manager — everything we have — is about $100,000 a year for our renewals. That works out to each module being something like $8,000 to $10,000."

"The price is reasonable, and a subscription is required."

"The price is reasonable and competitive. When you get into forward and reverse-engineering, the cost could go up. However, if you are a large organization, you would probably be able to access different packages. If, however, you don't need forward and reverse-engineering, then the price is relatively cheap."

"The solution is aggressively priced."

"The price is too high."

"erwin was at a good price. The federal government wouldn't buy something if the pricing wasn't good."

More erwin Data Intelligence pricing and cost advice

"Immuta's pricing is expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Government

Manufacturing Company

Construction Company

Financial Services Firm

17%

Construction Company

11%

Manufacturing Company

10%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	4
Large Enterprise	15

No data available

Questions from the Community

What needs improvement with erwin Data Intelligence by Quest?

In my opinion, the analytics part of erwin Data Intelligence is not satisfactory. The name 'Intelligence' is not related specifically to analytics; it is focused on data governance with no advanced...

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What is your primary use case for erwin Data Intelligence by Quest?

My main use case for erwin Data Intelligence is applying it and the DQ Labs in a financial institution.

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What advice do you have for others considering erwin Data Intelligence by Quest?

The integration of business glossaries has significantly helped improve collaboration in our organization. We define the business glossaries first during meetings with the business, and then we bul...

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What needs improvement with Immuta?

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What is your primary use case for Immuta?

My main use case for Immuta is data governance. In my project, which is a data governance project, I use Immuta as a centralized data access management tool. A specific example of how I use Immuta ...

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What advice do you have for others considering Immuta?

My advice for others considering Immuta would be to plan your policies carefully. Think through roles, data sensitivity, and use cases before setup. Invest in training to ensure both technical and ...

See all answers

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Compared 6% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs erwin Data Intelligence

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Compared 9% of the time

Protegrity’s Data Protection Platform vs Immuta

Compared 8% of the time

BigID Next vs Immuta

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Product Reports

Buyer's Guide

erwin Data Intelligence

June 2026

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Buyer's Guide

Data Governance

June 2026

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Also Known As

erwin DG, erwin Data Governance

No data available

Overview

Erwin Data Intelligence drives automation, supports data catalog and literacy, and offers Smart Data Connectors for efficient metadata handling. Its customization flexibility and integration facilitate enhanced data governance, visualization, analysis, and compliance.

Erwin Data Intelligence offers automation scripts that accelerate development, integrated data cataloging, data profiling, and lineage analysis to streamline information management. Users appreciate its capability in metadata harvesting, code engineering, and infrastructure integration. The tool provides flexibility to enhance governance and data visualization. While it performs well, users have noted challenges with API robustness and interface complexity, and there are opportunities to improve workflow integration, AI features, and large dataset handling. Companies rely on it for metadata management, automation of metadata mappings, and data governance to support compliance and literacy.

What are the main features of Erwin Data Intelligence?

Automation Scripts: Speeds up development processes through powerful scripts.
Data Catalog: Supports comprehensive data mapping and profiles for better analysis.
Smart Data Connectors: Efficiently handles code engineering and metadata harvesting.
Customization Flexibility: Adapts to existing infrastructure for seamless integration.
Comprehensive Visualization: Empowers data visualization and standardization processes.

What benefits and ROI can users expect?

Increased Development Speed: Automation scripts notably enhance development efficiency.
Improved Data Governance: Streamlines processes, supporting compliance and business definitions.
Effective Integration: Seamlessly fits with ETL tools and existing workflows.
Enhanced Data Literacy: Supports data literacy initiatives with robust cataloging features.
Comprehensive Impact Analysis: Facilitates thorough analysis for informed decision-making.

In industries such as finance, healthcare, and retail, organizations implement Erwin Data Intelligence for efficient metadata management and governance. It assists in automating lineage and mapping, supporting ETL procedures while enhancing compliance and data literacy efforts. Its flexibility and integration support create valuable data insights and governance improvements.

Quest Software

Immuta ensures secure, controlled access to sensitive data, excelling in data governance, regulatory compliance, and privacy. Key features include dynamic policy enforcement, fine-grained access control, and seamless integration with diverse data sources. Users report improved operational efficiency and enhanced teamwork.

Immuta

Sample Customers

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC

Information Not Available

Buyer's Guide

Immuta vs. erwin Data Intelligence

June 2026

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